Remote ML Ops Engineer for Enterprise AI Platform

ICF International; Reston (VA); Remote; USD 160,000 - 210,000; Full time

Job summary

ICF International is seeking an ML Ops Engineer to advance a cloud-based AI platform for enterprise data and analytics. This remote role prioritizes candidates in the Washington DC Metro Area, with occasional client-site meetings in Washington, DC.

The role focuses on building scalable ML pipelines, model registries, and automation across development, test, and production environments, working with data scientists, cloud architects, and platform engineers.

Qualifications

• Experience designing production-grade MLOps pipelines.
• Ability to deploy models in Azure-based cloud environments.
• Experience with ML monitoring and governance.
• Experience collaborating with data scientists and platform engineers.

Responsibilities

• Design, build, and maintain production-grade MLOps pipelines for model lifecycle.
• Develop reusable MLOps patterns using Azure Databricks, MLflow, and Unity Catalog.
• Implement experiment tracking, versioning, and model registries.
• Build automated CI/CD pipelines with GitHub Actions, Azure DevOps, and Terraform.
• Deploy scalable model-serving infrastructure for batch, streaming, and real-time workloads.
• Establish automated testing and evaluation gates for model performance and safety.
• Monitor and alert on model drift, data quality, and performance.

Skills

MLOps

Python

Azure Databricks

MLflow

Model Monitoring

CI/CD

Trustworthy AI

Tools

Databricks ML

Terraform

Azure ML

Unity Catalog

GitHub Actions

Azure DevOps

Job description

ICF International is seeking an ML Ops Engineer to advance a cloud-based AI platform for enterprise data and analytics. This remote role prioritizes candidates in the Washington DC Metro Area, with occasional client-site meetings in Washington, DC.

The role focuses on building scalable ML pipelines, model registries, and automation across development, test, and production environments, working with data scientists, cloud architects, and platform engineers.